Beauty is the most social-media-driven industry on the planet. A single TikTok review can sell out a product in 24 hours. Skincare routines go viral. A swatch video can make or break a new lipstick shade.

Here's how beauty brands and marketers can use social data to stay ahead.

Track Beauty Trends in Real Time

See what products and routines are trending right now:

const API_KEY = process.env.SOCIAVAULT_API_KEY;
const BASE = 'https://api.sociavault.com/v1/scrape';
const headers = { 'X-API-Key': API_KEY };

async function trackBeautyTrends(categories) {
  const trends = [];

  for (const category of categories) {
    // TikTok — where beauty trends start
    const tkRes = await fetch(
      `${BASE}/tiktok/search?query=${encodeURIComponent(category)}`,
      { headers }
    );
    const videos = (await tkRes.json()).data || [];

    const totalViews = videos.reduce((s, v) => s + (v.stats?.playCount || 0), 0);
    const totalLikes = videos.reduce((s, v) => s + (v.stats?.diggCount || 0), 0);
    const totalShares = videos.reduce((s, v) => s + (v.stats?.shareCount || 0), 0);

    // Extract product mentions from descriptions
    const descriptions = videos.map(v => v.desc || '').join(' ').toLowerCase();
    const brandMentions = {};
    const beautyBrands = [
      'cerave', 'the ordinary', 'drunk elephant', 'tatcha', 'glow recipe',
      'fenty', 'rare beauty', 'charlotte tilbury', 'nars', 'mac', 'glossier',
      'elf', 'nyx', 'maybelline', 'loreal', 'neutrogena', 'olay', 'la roche posay'
    ];

    for (const brand of beautyBrands) {
      const count = (descriptions.match(new RegExp(brand, 'gi')) || []).length;
      if (count > 0) brandMentions[brand] = count;
    }

    // Find top creators in this category
    const creatorMap = new Map();
    videos.forEach(v => {
      const username = v.author?.uniqueId;
      if (username) {
        const existing = creatorMap.get(username) || { views: 0, count: 0 };
        existing.views += v.stats?.playCount || 0;
        existing.count++;
        existing.followers = v.author?.stats?.followerCount || v.authorStats?.followerCount || existing.followers || 0;
        creatorMap.set(username, existing);
      }
    });

    const topCreators = [...creatorMap.entries()]
      .sort((a, b) => b[1].views - a[1].views)
      .slice(0, 5);

    trends.push({
      category,
      videoCount: videos.length,
      totalViews,
      totalLikes,
      totalShares,
      shareRatio: totalViews > 0 ? (totalShares / totalViews * 100).toFixed(3) : 0,
      brandMentions: Object.entries(brandMentions).sort((a, b) => b[1] - a[1]),
      topCreators
    });

    await new Promise(r => setTimeout(r, 1500));
  }

  // Sort by views
  trends.sort((a, b) => b.totalViews - a.totalViews);

  console.log('\n💄 Beauty Trend Report');
  console.log('═'.repeat(60));

  trends.forEach(t => {
    console.log(`\n  ${t.category}:`);
    console.log(`    Videos: ${t.videoCount} | Views: ${t.totalViews.toLocaleString()} | Shares: ${t.totalShares.toLocaleString()}`);
    console.log(`    Share ratio: ${t.shareRatio}% (higher = more purchase intent)`);
    if (t.brandMentions.length > 0) {
      console.log(`    Top brands: ${t.brandMentions.slice(0, 5).map(([b, c]) => `${b} (${c})`).join(', ')}`);
    }
    console.log(`    Top creators: ${t.topCreators.map(([u]) => '@' + u).join(', ')}`);
  });

  return trends;
}

trackBeautyTrends([
  'skincare routine morning',
  'makeup tutorial grwm',
  'hair care routine',
  'lip liner hack',
  'sunscreen review',
  'retinol before and after',
  'clean beauty products',
  'drugstore dupes'
]);

Compare Beauty Brands

See how brands stack up across platforms:

import os
import time
import requests

API_KEY = os.environ["SOCIAVAULT_API_KEY"]
BASE = "https://api.sociavault.com/v1/scrape"
HEADERS = {"X-API-Key": API_KEY}

def compare_beauty_brands(brands):
    """Compare beauty brands across Instagram, TikTok, and YouTube"""
    results = []

    for brand in brands:
        entry = {"name": brand["name"], "ig": {}, "tk": {}, "yt": {}}

        # Instagram
        if brand.get("instagram"):
            r = requests.get(f"{BASE}/instagram/profile", headers=HEADERS,
                           params={"username": brand["instagram"]})
            data = r.json().get("data", {})
            entry["ig"]["followers"] = data.get("follower_count", 0)
            entry["ig"]["posts"] = data.get("media_count", 0)
            time.sleep(1)

            r = requests.get(f"{BASE}/instagram/posts", headers=HEADERS,
                           params={"username": brand["instagram"]})
            posts = r.json().get("data", [])
            if posts:
                entry["ig"]["avg_likes"] = sum(p.get("like_count", 0) for p in posts) // max(len(posts), 1)
                entry["ig"]["avg_comments"] = sum(p.get("comment_count", 0) for p in posts) // max(len(posts), 1)
                entry["ig"]["eng_rate"] = round(
                    (entry["ig"]["avg_likes"] + entry["ig"]["avg_comments"]) /
                    max(entry["ig"]["followers"], 1) * 100, 2
                )
            time.sleep(1)

        # TikTok
        if brand.get("tiktok"):
            r = requests.get(f"{BASE}/tiktok/profile", headers=HEADERS,
                           params={"username": brand["tiktok"]})
            data = r.json().get("data", {})
            entry["tk"]["followers"] = (data.get("stats") or {}).get("followerCount", 0)
            entry["tk"]["likes"] = (data.get("stats") or {}).get("heartCount", 0)
            time.sleep(1)

            r = requests.get(f"{BASE}/tiktok/user/posts", headers=HEADERS,
                           params={"username": brand["tiktok"]})
            videos = r.json().get("data", [])
            if videos:
                entry["tk"]["avg_views"] = sum(
                    (v.get("stats") or {}).get("playCount", 0) for v in videos
                ) // max(len(videos), 1)
            time.sleep(1)

        # YouTube
        if brand.get("youtube"):
            r = requests.get(f"{BASE}/youtube/channel", headers=HEADERS,
                           params={"url": brand["youtube"]})
            data = r.json().get("data", {})
            stats = data.get("statistics", {})
            entry["yt"]["subscribers"] = int(stats.get("subscriberCount", 0))
            entry["yt"]["views"] = int(stats.get("viewCount", 0))
            time.sleep(1)

        # Total reach
        entry["total_reach"] = (
            entry["ig"].get("followers", 0) +
            entry["tk"].get("followers", 0) +
            entry["yt"].get("subscribers", 0)
        )

        results.append(entry)

    # Sort by total reach
    results.sort(key=lambda x: x["total_reach"], reverse=True)

    print("\n💄 Beauty Brand Comparison")
    print("=" * 65)

    print(f"\n  {'Brand':<22} {'Instagram':>12} {'TikTok':>12} {'YouTube':>12} {'Total':>12}")
    print(f"  {'─' * 60}")

    for r in results:
        ig = f"{r['ig'].get('followers', 0):,}"
        tk = f"{r['tk'].get('followers', 0):,}"
        yt = f"{r['yt'].get('subscribers', 0):,}"
        total = f"{r['total_reach']:,}"
        print(f"  {r['name']:<22} {ig:>12} {tk:>12} {yt:>12} {total:>12}")

    # Engagement ranking
    print(f"\n  Engagement Rate Ranking (Instagram):")
    ig_ranked = sorted(
        [r for r in results if r["ig"].get("eng_rate")],
        key=lambda x: x["ig"]["eng_rate"],
        reverse=True
    )
    for i, r in enumerate(ig_ranked, 1):
        print(f"    {i}. {r['name']}: {r['ig']['eng_rate']}% "
              f"({r['ig'].get('avg_likes', 0):,} avg likes)")

    return results

compare_beauty_brands([
    {"name": "Rare Beauty", "instagram": "rarebeauty", "tiktok": "rarebeauty",
     "youtube": "https://www.youtube.com/@rarebeauty"},
    {"name": "Fenty Beauty", "instagram": "fentybeauty", "tiktok": "fentybeauty",
     "youtube": "https://www.youtube.com/@fentybeauty"},
    {"name": "Glossier", "instagram": "glossier", "tiktok": "glossier",
     "youtube": "https://www.youtube.com/@glossier"},
    {"name": "Charlotte Tilbury", "instagram": "charlottetilbury", "tiktok": "charlottetilbury",
     "youtube": "https://www.youtube.com/@CharlotteTilbury"},
    {"name": "e.l.f. Cosmetics", "instagram": "elfcosmetics", "tiktok": "elfyeah",
     "youtube": "https://www.youtube.com/@elfcosmetics"},
])

Find Beauty Influencers by Sub-Niche

Beauty isn't one niche. It's dozens:

async function findBeautyCreators(subNiches) {
  const allCreators = [];

  for (const niche of subNiches) {
    const res = await fetch(
      `${BASE}/tiktok/search?query=${encodeURIComponent(niche)}`,
      { headers }
    );
    const videos = (await res.json()).data || [];

    const seen = new Set();
    for (const v of videos) {
      const username = v.author?.uniqueId;
      if (!username || seen.has(username)) continue;
      seen.add(username);

      allCreators.push({
        username,
        niche,
        followers: v.author?.stats?.followerCount || v.authorStats?.followerCount || 0,
        sampleViews: v.stats?.playCount || 0,
        sampleLikes: v.stats?.diggCount || 0
      });
    }

    await new Promise(r => setTimeout(r, 1500));
  }

  // Group by niche
  const byNiche = {};
  allCreators.forEach(c => {
    if (!byNiche[c.niche]) byNiche[c.niche] = [];
    byNiche[c.niche].push(c);
  });

  console.log('\n💅 Beauty Creators by Sub-Niche');
  console.log('═'.repeat(55));

  for (const [niche, creators] of Object.entries(byNiche)) {
    const sorted = creators.sort((a, b) => b.followers - a.followers);
    console.log(`\n  ${niche}:`);
    sorted.slice(0, 5).forEach((c, i) => {
      console.log(`    ${i + 1}. @${c.username} (${c.followers.toLocaleString()} followers)`);
    });
  }

  return byNiche;
}

findBeautyCreators([
  'skincare dermatologist',
  'drugstore makeup',
  'clean beauty natural',
  'nail art tutorial',
  'hair transformation',
  'fragrance review perfume',
  'makeup for dark skin',
  'korean skincare routine',
  'mature skin makeup over 40'
]);

Beauty Content Benchmarks

Content Type	Avg Engagement Rate	Virality Potential	Sales Impact
Get Ready With Me (GRWM)	4-8%	Very High	High — product showcasing
Before/After results	5-12%	Very High	Very High — social proof
Drugstore dupes	3-7%	High	High — price comparison
Ingredient breakdowns	2-5%	Medium	Medium — education
Haul/unboxing	3-6%	Medium	Medium — discovery
Brand comparison	4-8%	High	High — direct comparison
Routine (morning/night)	3-6%	Medium	High — multiple products
Swatch videos	2-4%	Medium	Very High — purchase decision

Metric	What It Tells You	Benchmark
Share-to-view ratio	Purchase intent	>0.5% = product will sell
Save rate	Research intent	>3% = people planning to buy
Comment sentiment	Product reception	>70% positive = winner
UGC-to-brand ratio	Organic love vs paid	>5:1 = cult following
Dupe mention volume	Price sensitivity	Rising = opportunity for affordable option

Platform Roles in Beauty

Platform	Role in Beauty Purchase Journey
TikTok	Discovery ("TikTok made me buy it")
Instagram	Aspiration + visual research
YouTube	Deep reviews + tutorials
Pinterest	Planning + routine building
Reddit (r/SkincareAddiction, r/MakeupAddiction)	Honest reviews + ingredient analysis

Beauty & Cosmetics Brand Social Intelligence: Track Trends, Creators & Competitors

Track Beauty Trends in Real Time

Compare Beauty Brands

Find Beauty Influencers by Sub-Niche

Beauty Content Benchmarks

Platform Roles in Beauty

Get Started

Found this helpful?

Ready to Try SociaVault?

Beauty & Cosmetics Brand Social Intelligence: Track Trends, Creators & Competitors

Beauty & Cosmetics Brand Social Intelligence: Track Trends, Creators & Competitors

Track Beauty Trends in Real Time

Compare Beauty Brands

Find Beauty Influencers by Sub-Niche

Beauty Content Benchmarks

Beauty Industry Social Metrics

Platform Roles in Beauty

Get Started

Related Reading

Found this helpful?

Ready to Try SociaVault?